Knowledge Base Scientist Senior – CDAIO
Country: Spain
Santander ( is evolving from a high-impact global brand to a technology-driven organization, and our people are at the heart of this journey. We are driving a customer‑centric transformation that values bold thinking, innovation and the courage to challenge what is possible. Our mission is to help people and businesses thrive. As part of the global AI Transformation team, this role leads and manages strategic AI initiatives that drive impact across global companies and key functions, connecting business, AI and technology to create measurable value.
Main Responsibilities
- Provide scientific and technical leadership for the local implementation and evolution of Santander’s AI Knowledge Base, with a focus on knowledge representation, graph systems and agent‑ready data structures.
- Translate integral architectural standards into reliable, high‑impact local intelligent systems operating at scale.
- Design, develop and maintain local instances of the Knowledge Base, ensuring structured and unstructured data are connected, semantically described and accessible to AI agents.
- Apply principles of knowledge representation, graph modelling and semantic indexing to support conversational systems, retrieval pipelines and autonomous agents.
- Shape graph schemas, entity resolution strategies, metadata structures and retrieval pipelines in collaboration with data, engineering and product teams, while respecting local regulatory, linguistic and business constraints.
- Contribute to evaluation frameworks, monitoring practices and continuous improvement of Knowledge Base components.
- Collaborate closely with global Knowledge Base leadership, sharing learnings and propagating successful local patterns across markets.
Professional Experience
- 5–10 years of experience in AI, data science or machine learning systems in production environments.
- Demonstrated experience designing and operating data pipelines or AI systems requiring high scalability, reliability and maintainability.
- Experience collaborating across engineering, product and business teams to deploy AI‑enabled systems.
- Ability to translate architectural guidance into practical, working local solutions aligned with global platforms.
- Comfort working as a strong individual contributor with ownership and responsibility within a distributed, multi‑country AI organization.
Hard Skills
- Strong expertise in knowledge representation, graph modelling, semantic data structures or information retrieval systems.
- Practical background in machine learning and modern AI architectures, particularly where they intersect with structured knowledge and retrieval.
- Strong Python programming skills and familiarity with data processing and graph technologies.
Benefits
- Competitive salary and performance‑based bonuses.
- Preferential banking terms, special interest rates on loans, life insurance and other financial advantages.
- Wellness programmes such as BeHealthy and access to medical centres and wellness facilities.
- Family‑friendly programmes including childcare support and legal, emotional and administrative advisory services.
- Gym/WellHub membership, meal subsidy, parking, shuttle service from various points in Madrid and exclusive discounts for employees.
Equal Opportunity Statement
Santander is proud of being an organisation where there are equal opportunities regardless of age, gender, disability, civil status, race, religion or sexual orientation. We are committed to providing an inclusive and accessible application process for all candidates.
#J-18808-Ljbffr